🚀 lazyeat | Vue
🎯 Primary Use Case:
Touch-free control of devices while eating to avoid getting them greasy.
✨ Key Features:
• Hands-free control using gestures
• Single finger cursor control
• Two-finger click/Rock gesture for mouse click
• OK gesture for page scrolling
• Four-finger gesture for key press
📖 Summary:
Lazyeat is a hands-free controller that uses gesture recognition to allow users to control their devices while eating. It supports various gestures for cursor control, clicks, scrolling, and key presses, as well as voice input. The primary use case is to avoid touching devices with greasy hands during meals.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Touch-free control of devices while eating to avoid getting them greasy.
✨ Key Features:
• Hands-free control using gestures
• Single finger cursor control
• Two-finger click/Rock gesture for mouse click
• OK gesture for page scrolling
• Four-finger gesture for key press
📖 Summary:
Lazyeat is a hands-free controller that uses gesture recognition to allow users to control their devices while eating. It supports various gestures for cursor control, clicks, scrolling, and key presses, as well as voice input. The primary use case is to avoid touching devices with greasy hands during meals.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 musializer | C
🎯 Primary Use Case:
Creating music visualizations and rendering high-quality videos of them.
✨ Key Features:
• Music visualization
• High-quality video rendering
• Support for multiple audio formats (wav, ogg, mp3, qoa, xm, mod, flac)
• Custom build system (nob)
• Hot reloading
📖 Summary:
Musializer is a tool for generating beautiful music visualizations and rendering them into high-quality videos. It supports a variety of audio formats and features a custom build system called `nob`. The project also offers hot reloading capabilities for rapid development and iteration on visualizations.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Creating music visualizations and rendering high-quality videos of them.
✨ Key Features:
• Music visualization
• High-quality video rendering
• Support for multiple audio formats (wav, ogg, mp3, qoa, xm, mod, flac)
• Custom build system (nob)
• Hot reloading
📖 Summary:
Musializer is a tool for generating beautiful music visualizations and rendering them into high-quality videos. It supports a variety of audio formats and features a custom build system called `nob`. The project also offers hot reloading capabilities for rapid development and iteration on visualizations.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 Chrome-OLED-Mode | JavaScript
🎯 Primary Use Case:
Applying a dark, high-contrast theme to websites for comfortable reading, especially at night or on OLED screens.
✨ Key Features:
• Pitch black theme for websites
• High contrast mode
• Site-specific themes
• Whitelist management
• Automatic scheduling
📖 Summary:
The Chrome OLED Mode extension provides a pitch-black theme for websites, enhancing readability and reducing eye strain. It utilizes React for dynamic rendering and offers features like site-specific themes and whitelist management. The extension is designed to be actively maintained and improved, offering an alternative to other dark mode extensions.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Applying a dark, high-contrast theme to websites for comfortable reading, especially at night or on OLED screens.
✨ Key Features:
• Pitch black theme for websites
• High contrast mode
• Site-specific themes
• Whitelist management
• Automatic scheduling
📖 Summary:
The Chrome OLED Mode extension provides a pitch-black theme for websites, enhancing readability and reducing eye strain. It utilizes React for dynamic rendering and offers features like site-specific themes and whitelist management. The extension is designed to be actively maintained and improved, offering an alternative to other dark mode extensions.
🔗 Links:
• View Project
================
🔓 Open Source
💡 droidrun | Python
🎯 Primary Use Case:
Automating device interactions using natural language commands.
✨ Key Features:
• Control Android and iOS devices with natural language commands
• Supports multiple LLM providers
• Planning capabilities for complex multi-step tasks
• Easy to use CLI with enhanced debugging features
📖 Summary:
DroidRun is a framework for controlling Android and iOS devices using LLM agents, enabling automation of device interactions through natural language commands. It supports multiple LLM providers, offers planning capabilities for complex tasks, and provides an extendable Python API for custom automations. The framework also includes screenshot analysis and execution tracing for enhanced debugging.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating device interactions using natural language commands.
✨ Key Features:
• Control Android and iOS devices with natural language commands
• Supports multiple LLM providers
• Planning capabilities for complex multi-step tasks
• Easy to use CLI with enhanced debugging features
📖 Summary:
DroidRun is a framework for controlling Android and iOS devices using LLM agents, enabling automation of device interactions through natural language commands. It supports multiple LLM providers, offers planning capabilities for complex tasks, and provides an extendable Python API for custom automations. The framework also includes screenshot analysis and execution tracing for enhanced debugging.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 EasyOCR | Python
🎯 Primary Use Case:
Optical Character Recognition (OCR) for extracting text from images in multiple languages.
✨ Key Features:
• Supports 80+ languages
• Supports multiple writing scripts
• Easy installation via pip
• Can read text from images, OpenCV objects, bytes, and URLs
📖 Summary:
EasyOCR is a Python library for performing OCR, supporting over 80 languages and various writing scripts. It offers a simple installation process and can extract text from various image formats, including files, OpenCV objects, and URLs, making it easy to integrate into different applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Optical Character Recognition (OCR) for extracting text from images in multiple languages.
✨ Key Features:
• Supports 80+ languages
• Supports multiple writing scripts
• Easy installation via pip
• Can read text from images, OpenCV objects, bytes, and URLs
📖 Summary:
EasyOCR is a Python library for performing OCR, supporting over 80 languages and various writing scripts. It offers a simple installation process and can extract text from various image formats, including files, OpenCV objects, and URLs, making it easy to integrate into different applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 Windows-MCP | Python
🎯 Primary Use Case:
Automating Windows OS tasks using AI agents.
✨ Key Features:
• Seamless Windows Integration
• Use Any LLM (Vision Optional)
• Rich Toolset for UI Automation
• Lightweight & Open-Source
• Customizable & Extendable
📖 Summary:
Windows-MCP is a lightweight MCP server that enables seamless integration between AI agents and the Windows operating system. It allows AI agents to perform tasks such as file navigation, application control, and UI interaction without relying on specific fine-tuned models or computer vision techniques. The project is open-source, customizable, and offers real-time interaction with minimal dependencies.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating Windows OS tasks using AI agents.
✨ Key Features:
• Seamless Windows Integration
• Use Any LLM (Vision Optional)
• Rich Toolset for UI Automation
• Lightweight & Open-Source
• Customizable & Extendable
📖 Summary:
Windows-MCP is a lightweight MCP server that enables seamless integration between AI agents and the Windows operating system. It allows AI agents to perform tasks such as file navigation, application control, and UI interaction without relying on specific fine-tuned models or computer vision techniques. The project is open-source, customizable, and offers real-time interaction with minimal dependencies.
🔗 Links:
• View Project
================
🔓 Open Source
✨ firestarter | TypeScript
🎯 Primary Use Case:
Instantly creating AI chatbots for any website.
✨ Key Features:
• RAG-powered search
• Streaming AI responses
• OpenAI-compatible API endpoints
• Web scraping and content aggregation
• Semantic search using Upstash
📖 Summary:
Firestarter enables the rapid creation of AI chatbots for websites by crawling content, indexing it with RAG, and providing a ready-to-use chat interface and OpenAI-compatible API. It leverages technologies like Firecrawl, Upstash Search, and Vercel AI SDK to deliver streaming AI responses and supports multiple LLM providers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Instantly creating AI chatbots for any website.
✨ Key Features:
• RAG-powered search
• Streaming AI responses
• OpenAI-compatible API endpoints
• Web scraping and content aggregation
• Semantic search using Upstash
📖 Summary:
Firestarter enables the rapid creation of AI chatbots for websites by crawling content, indexing it with RAG, and providing a ready-to-use chat interface and OpenAI-compatible API. It leverages technologies like Firecrawl, Upstash Search, and Vercel AI SDK to deliver streaming AI responses and supports multiple LLM providers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ tproxy | Go
🎯 Primary Use Case:
Monitoring and analyzing TCP connections for backend service development, including gRPC and MySQL.
✨ Key Features:
• Proxies TCP connections
• Analyzes network traffic
• Monitors gRPC connections
• Monitors MySQL connection pools
• Provides connection statistics (retransmission rate, RTT)
📖 Summary:
tproxy is a command-line tool designed to proxy and analyze TCP connections. It's primarily used for monitoring network traffic, especially for gRPC and MySQL connections, providing insights into connection behavior, reliability, and performance. The tool supports protocol-specific analysis and offers features like packet delay and speed limiting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Monitoring and analyzing TCP connections for backend service development, including gRPC and MySQL.
✨ Key Features:
• Proxies TCP connections
• Analyzes network traffic
• Monitors gRPC connections
• Monitors MySQL connection pools
• Provides connection statistics (retransmission rate, RTT)
📖 Summary:
tproxy is a command-line tool designed to proxy and analyze TCP connections. It's primarily used for monitoring network traffic, especially for gRPC and MySQL connections, providing insights into connection behavior, reliability, and performance. The tool supports protocol-specific analysis and offers features like packet delay and speed limiting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 awesome-cursor-rules-mdc | Python
🎯 Primary Use Case:
Generating Cursor MDC (Markdown Cursor) rule files from structured data to enhance the Cursor code editor experience.
✨ Key Features:
• Generates comprehensive MDC rule files for libraries
• Uses Exa for semantic web search to gather best practices
• Leverages LLM to create detailed, structured content
• Supports parallel processing for efficiency
📖 Summary:
This repository provides a tool to generate Cursor MDC rule files from a structured JSON format. It leverages semantic web search (Exa) and LLMs (Gemini, OpenAI, or Anthropic) to create comprehensive and detailed rules. The tool supports parallel processing, progress tracking, and a smart retry system for efficient rule generation.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Generating Cursor MDC (Markdown Cursor) rule files from structured data to enhance the Cursor code editor experience.
✨ Key Features:
• Generates comprehensive MDC rule files for libraries
• Uses Exa for semantic web search to gather best practices
• Leverages LLM to create detailed, structured content
• Supports parallel processing for efficiency
📖 Summary:
This repository provides a tool to generate Cursor MDC rule files from a structured JSON format. It leverages semantic web search (Exa) and LLMs (Gemini, OpenAI, or Anthropic) to create comprehensive and detailed rules. The tool supports parallel processing, progress tracking, and a smart retry system for efficient rule generation.
🔗 Links:
• View Project
================
🔓 Open Source
💡 fireplexity | TypeScript
🎯 Primary Use Case:
AI-powered search engine with real-time web scraping and source citations.
✨ Key Features:
• Real-time Web Search
• AI Responses
• Source Citations
• Live Stock Data
• Smart Follow-ups
📖 Summary:
Fireplexity is an AI search engine that utilizes Firecrawl's web scraping API to provide intelligent answers with real-time citations and live data. It leverages GPT-4o-mini for AI responses and includes features like live stock data and AI-generated follow-up questions, offering a comprehensive search experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
AI-powered search engine with real-time web scraping and source citations.
✨ Key Features:
• Real-time Web Search
• AI Responses
• Source Citations
• Live Stock Data
• Smart Follow-ups
📖 Summary:
Fireplexity is an AI search engine that utilizes Firecrawl's web scraping API to provide intelligent answers with real-time citations and live data. It leverages GPT-4o-mini for AI responses and includes features like live stock data and AI-generated follow-up questions, offering a comprehensive search experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ combicode | JavaScript
🎯 Primary Use Case:
Preparing a project's codebase for use as context in Large Language Models (LLMs).
✨ Key Features:
• Combines project codebase into a single file
• LLM-friendly output with system prompt and file tree
• Intelligent ignoring of common junk files and directories
• .gitignore aware
• Zero-install usage via npx or pipx
📖 Summary:
Combicode is a CLI tool designed to bundle a project's source code into a single, LLM-friendly text file. It intelligently includes a system prompt and file tree overview, skips common junk files, respects .gitignore rules, and offers customization options for file inclusion and exclusion, enabling users to provide comprehensive context to LLMs.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Preparing a project's codebase for use as context in Large Language Models (LLMs).
✨ Key Features:
• Combines project codebase into a single file
• LLM-friendly output with system prompt and file tree
• Intelligent ignoring of common junk files and directories
• .gitignore aware
• Zero-install usage via npx or pipx
📖 Summary:
Combicode is a CLI tool designed to bundle a project's source code into a single, LLM-friendly text file. It intelligently includes a system prompt and file tree overview, skips common junk files, respects .gitignore rules, and offers customization options for file inclusion and exclusion, enabling users to provide comprehensive context to LLMs.
🔗 Links:
• View Project
================
🔓 Open Source
✨ ingestr | Python
🎯 Primary Use Case:
Copying data between different databases seamlessly with a single command.
✨ Key Features:
• Data ingestion from any source to any destination
• Incremental loading (append, merge, delete+insert)
• Single-command installation
📖 Summary:
ingestr is a CLI tool designed for seamless data transfer between various databases. It simplifies data ingestion by allowing users to copy data from any source to any destination using a single command, eliminating the need for complex coding. The tool supports incremental loading strategies and offers a straightforward installation process.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Copying data between different databases seamlessly with a single command.
✨ Key Features:
• Data ingestion from any source to any destination
• Incremental loading (append, merge, delete+insert)
• Single-command installation
📖 Summary:
ingestr is a CLI tool designed for seamless data transfer between various databases. It simplifies data ingestion by allowing users to copy data from any source to any destination using a single command, eliminating the need for complex coding. The tool supports incremental loading strategies and offers a straightforward installation process.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 ableton-mcp | Python
🎯 Primary Use Case:
Prompt-assisted music production, track creation, and Ableton Live session manipulation using Claude AI.
✨ Key Features:
• Two-way communication between Claude AI and Ableton Live
• Track manipulation (creation, modification)
• Instrument and effect selection
• Clip creation and editing
📖 Summary:
AbletonMCP enables Claude AI to directly interact with and control Ableton Live through the Model Context Protocol (MCP). This integration facilitates prompt-assisted music production by allowing Claude to manipulate tracks, select instruments and effects, create clips, and control session parameters. The system consists of an Ableton Remote Script and an MCP server, enabling two-way communication and control.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Prompt-assisted music production, track creation, and Ableton Live session manipulation using Claude AI.
✨ Key Features:
• Two-way communication between Claude AI and Ableton Live
• Track manipulation (creation, modification)
• Instrument and effect selection
• Clip creation and editing
📖 Summary:
AbletonMCP enables Claude AI to directly interact with and control Ableton Live through the Model Context Protocol (MCP). This integration facilitates prompt-assisted music production by allowing Claude to manipulate tracks, select instruments and effects, create clips, and control session parameters. The system consists of an Ableton Remote Script and an MCP server, enabling two-way communication and control.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 quarkdown | Kotlin
🎯 Primary Use Case:
Typesetting system for creating books, presentations, and articles from Markdown.
✨ Key Features:
• Markdown extension with functions
• Versatile compilation targets (book, presentation, article)
• Standard library with layout builders, I/O, math, conditional statements, and loops
• Custom function and variable definition
• Live preview
📖 Summary:
Quarkdown is a Markdown-based typesetting system that extends Markdown with functions and allows compiling a project into various formats like books, presentations, and articles. It features a standard library, custom function definitions, live preview, and fast compilation, enabling users to create complex and dynamic content.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Typesetting system for creating books, presentations, and articles from Markdown.
✨ Key Features:
• Markdown extension with functions
• Versatile compilation targets (book, presentation, article)
• Standard library with layout builders, I/O, math, conditional statements, and loops
• Custom function and variable definition
• Live preview
📖 Summary:
Quarkdown is a Markdown-based typesetting system that extends Markdown with functions and allows compiling a project into various formats like books, presentations, and articles. It features a standard library, custom function definitions, live preview, and fast compilation, enabling users to create complex and dynamic content.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 StreamingKokoroJS | JavaScript
🎯 Primary Use Case:
Web-based text-to-speech application that runs entirely in the browser.
✨ Key Features:
• 100% Client-Side Processing
• WebGPU Acceleration
• Streaming Audio Generation
• Smart Text Chunking
• Multiple Voice Styles
📖 Summary:
StreamingKokoroJS is a web-based text-to-speech application that leverages the Kokoro-82M model to generate high-quality speech audio entirely in the browser. It offers features like WebGPU acceleration, streaming audio generation, and multiple voice styles, all while running locally without server-side processing, ensuring privacy and offline functionality.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Web-based text-to-speech application that runs entirely in the browser.
✨ Key Features:
• 100% Client-Side Processing
• WebGPU Acceleration
• Streaming Audio Generation
• Smart Text Chunking
• Multiple Voice Styles
📖 Summary:
StreamingKokoroJS is a web-based text-to-speech application that leverages the Kokoro-82M model to generate high-quality speech audio entirely in the browser. It offers features like WebGPU acceleration, streaming audio generation, and multiple voice styles, all while running locally without server-side processing, ensuring privacy and offline functionality.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 oh-my-logo | TypeScript
🎯 Primary Use Case:
Displaying giant ASCII-art logos with colorful gradients in the terminal.
✨ Key Features:
• Two Rendering Modes: Outlined ASCII art or filled block characters
• 13 Beautiful Palettes: From sunset gradients to matrix green
• Gradient Directions: Vertical, horizontal, and diagonal gradients
📖 Summary:
Oh-my-logo is a TypeScript-based tool for generating visually appealing ASCII art logos with gradient colors in the terminal. It offers features like outlined or filled rendering modes, a variety of color palettes, customizable gradient directions, and multi-line support, all without requiring any dependencies. It can be used as a CLI tool or integrated as a library.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Displaying giant ASCII-art logos with colorful gradients in the terminal.
✨ Key Features:
• Two Rendering Modes: Outlined ASCII art or filled block characters
• 13 Beautiful Palettes: From sunset gradients to matrix green
• Gradient Directions: Vertical, horizontal, and diagonal gradients
📖 Summary:
Oh-my-logo is a TypeScript-based tool for generating visually appealing ASCII art logos with gradient colors in the terminal. It offers features like outlined or filled rendering modes, a variety of color palettes, customizable gradient directions, and multi-line support, all without requiring any dependencies. It can be used as a CLI tool or integrated as a library.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 image_to_pixel_art_wasm | Rust
🎯 Primary Use Case:
Image-to-pixel-art conversions in the browser.
✨ Key Features:
• K-means palette extraction with user-selectable color count or supply your own palette
• Transparency is kept intact
• Down-samples to a fixed tile grid using nearest-neighbour then scales back up, aspect-ratio preserved
• Pure client-side WASM processing
📖 Summary:
This Rust-based WebAssembly library converts raster images into low-color pixel art directly in the browser. It features k-means palette extraction, transparency handling, and downsampling with aspect ratio preservation, all processed client-side via WASM.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Image-to-pixel-art conversions in the browser.
✨ Key Features:
• K-means palette extraction with user-selectable color count or supply your own palette
• Transparency is kept intact
• Down-samples to a fixed tile grid using nearest-neighbour then scales back up, aspect-ratio preserved
• Pure client-side WASM processing
📖 Summary:
This Rust-based WebAssembly library converts raster images into low-color pixel art directly in the browser. It features k-means palette extraction, transparency handling, and downsampling with aspect ratio preservation, all processed client-side via WASM.
🔗 Links:
• View Project
================
🔓 Open Source
✨ code2prompt | MDX
🎯 Primary Use Case:
Convert codebases into LLM prompts for code analysis, generation, and other tasks.
✨ Key Features:
• Automatic Code Processing
• Smart Filtering
• Flexible Templating
• Token Tracking
• Git Integration
📖 Summary:
Code2prompt is a CLI tool and SDK that transforms codebases into structured prompts for Large Language Models. It offers features like automatic code processing, smart filtering using glob patterns and .gitignore, flexible templating with Handlebars, token tracking, and Git integration. It streamlines the process of creating LLM prompts for code analysis, generation, and automation.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Convert codebases into LLM prompts for code analysis, generation, and other tasks.
✨ Key Features:
• Automatic Code Processing
• Smart Filtering
• Flexible Templating
• Token Tracking
• Git Integration
📖 Summary:
Code2prompt is a CLI tool and SDK that transforms codebases into structured prompts for Large Language Models. It offers features like automatic code processing, smart filtering using glob patterns and .gitignore, flexible templating with Handlebars, token tracking, and Git integration. It streamlines the process of creating LLM prompts for code analysis, generation, and automation.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 pyspur | TypeScript
🎯 Primary Use Case:
Visually iterating and debugging AI agent workflows to improve reliability and reduce development time.
✨ Key Features:
• Human in the Loop
• Loops
• File Upload
• Structured Outputs
• RAG
📖 Summary:
PySpur is a visual playground for AI agent workflows, designed to help AI engineers iterate faster. It offers features like human-in-the-loop, looping, file upload, structured outputs, RAG, multimodal support, tracing, evals, and one-click deployment, supporting various LLM vendors and Python-based extensions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Visually iterating and debugging AI agent workflows to improve reliability and reduce development time.
✨ Key Features:
• Human in the Loop
• Loops
• File Upload
• Structured Outputs
• RAG
📖 Summary:
PySpur is a visual playground for AI agent workflows, designed to help AI engineers iterate faster. It offers features like human-in-the-loop, looping, file upload, structured outputs, RAG, multimodal support, tracing, evals, and one-click deployment, supporting various LLM vendors and Python-based extensions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ plantuml | Java
🎯 Primary Use Case:
Generating diagrams from textual descriptions, particularly UML diagrams, but also supporting other diagram types.
✨ Key Features:
• Generates UML diagrams from textual descriptions
• Supports various UML diagram types (Sequence, Use case, Class, Object, Activity, Component, Deployment, State, Timing)
📖 Summary:
PlantUML is a tool that generates diagrams from textual descriptions. It primarily focuses on UML diagrams, supporting a wide range of UML diagram types. Additionally, it extends its capabilities to non-UML diagrams like JSON, YAML, and network diagrams, providing a versatile solution for visualizing various systems and data structures.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating diagrams from textual descriptions, particularly UML diagrams, but also supporting other diagram types.
✨ Key Features:
• Generates UML diagrams from textual descriptions
• Supports various UML diagram types (Sequence, Use case, Class, Object, Activity, Component, Deployment, State, Timing)
📖 Summary:
PlantUML is a tool that generates diagrams from textual descriptions. It primarily focuses on UML diagrams, supporting a wide range of UML diagram types. Additionally, it extends its capabilities to non-UML diagrams like JSON, YAML, and network diagrams, providing a versatile solution for visualizing various systems and data structures.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source